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3 дня назад

Lead Data Engineer (Sr. Palantir Engineer)

150 000 - 180 000$
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (Sr. Palantir Engineer) (Palantir Foundry/PySpark): Architecting and optimizing scalable data pipelines and ontology-driven applications with an accent on data architecture, platform engineering, and semantic modeling. Focus on building high-performance ETL/ELT workflows, integrating Foundry applications, troubleshooting complex data issues, and improving platform cost efficiency.

Location: Chicago, IL, United States

Salary: $150,000–$180,000 per year

Company

hirify.global operates in partnership with Capgemini, a global business and technology transformation provider delivering cloud, data, AI, and engineering services.

What you will do

  • Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.
  • Architect scalable data frameworks for analytics and operational workflows while maintaining data quality and consistency.
  • Configure Foundry Data Connections, Pipeline Builder, Contour, Code Repositories, and ontology objects.
  • Develop ontology-driven applications with Workshop and Quiver, ensuring consistent data flow from ingestion through ontology.
  • Collaborate with data scientists, analysts, domain experts, business stakeholders, and senior leadership to translate requirements into data solutions.
  • Lead troubleshooting, performance tuning, cost monitoring, platform stability, and continuous workflow improvement.

Requirements

  • 8+ years of experience in data engineering or related roles.
  • Strong proficiency in PySpark, Spark SQL, and Python.
  • Deep hands-on experience with Palantir Foundry, including Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop, and Quiver.
  • Solid understanding of data modeling, data governance, access control, performance optimization, and complex data troubleshooting.
  • Strong communication and collaboration skills, with the ability to mentor junior engineers and analysts.

Nice to have

  • Experience with cloud platforms such as Azure.
  • Experience with Snowflake and its integration with Foundry.
  • Exposure to Generative AI and its application in data workflows.
  • Knowledge of data security, compliance, and metadata management.

Culture & Benefits

  • Collaborative environment with colleagues across the world.
  • Comprehensive benefits package for regular full-time employees.
  • Paid vacation, company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage.
  • Retirement savings plans, life and disability insurance, and employee assistance programs.

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